## Definition:

Data is a collection of facts such as values or measurements.

Data can be in the form of numbers, words, measurements, observations or even descriptions of some things.

### Types Of Data:

Data can be of two types- Qualitative and Quantitative

**Qualitative data:**

Qualitative data provides a descriptive information about something.

**Quantitative data:**

Quantitative data provides numerical information about something.

Quantitative data is of two types- Discrete and Continuous

**Discrete data:
**Discrete data can only take certain values like whole numbers

**Continuous data:**

Continuous data can take any value within a range

**Note:** Discrete data is countable while continuous data is measurable.

### Simple example is given below to have a better understanding of the types of data:

#### Cheetah

**Qualitative Data:**

- It is tawny brown in colour and is covered with dark black spots
- It has two black stripes which look like tear-tracks
- It is the fastest animal in the world

**Quantitative Data:**

**Discrete Data:**

- It has four legs
- It has two kids

**Continuous Data:**

- The average weight of cheetah is 50 to 60 kg
- The height of cheetah is 70-90 cm.

### Collection of data:

Data can be collected in many ways. The simplest method is to observe directly.

**Example:**

In case if you want to find the number of cycles passing certain point on a road in 20 minutes interval of time.

You can stand at that particular point and count the number of cycles that pass by in that interval.

### Census Or Sample:

Census is collecting data for every member of the group ( whole population)

Sample is collecting data for selected member of the group.

**Example:**

There are 40 students in a classroom. you can ask everyone ( all 40) what their height is. That is census. or you could just ask some 10 students what their height is. That is Sample.

**Note:**

Census is accurate but hard to calculate.

Sample is not as accurate as census but may be good enough and easy to calculate

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I hate maths and its formulas huh !

Really helped me in my revision for maths, the only website that actually had a definition of data handling.